Brainstorming ideas and creating drafts of text
Brainstorming ideas and drafting text are strengths of generative AI, where diverse output is valuable.
This is not an unsuitable situation, so it is incorrect.
A company is deciding where to use generative AI in its operations and where not to. Among the following situations, which is the MOST appropriate as a situation where using generative AI is not suitable (where caution is warranted)?
A question about choosing the situation where generative AI is not suitable.
Brainstorming ideas and creating drafts of text
Brainstorming ideas and drafting text are strengths of generative AI, where diverse output is valuable.
This is not an unsuitable situation, so it is incorrect.
Accounting calculations that require accuracy
Correct. Because generative AI is probabilistic and its output can vary, it is not suitable for processing that requires the same exact result every time and allows no errors (such as accounting calculations). A traditional deterministic program is appropriate.
Creating a draft of an email
Drafting an email is a strength of generative AI, where text generation is valuable.
This is not an unsuitable situation, so it is incorrect.
Summarizing an article
Summarizing an article is a representative strength task of generative AI.
This is not an unsuitable situation, so it is incorrect.
Because generative AI is probabilistic and its output can vary, it is not suitable for deterministic processing that requires the same exact result every time and allows no errors (such as accounting calculations or strict rule-based decisions). A deterministic program or a rule-based approach is appropriate. Brainstorming, drafting emails, and summarizing articles are all strengths of generative AI where diverse output is valuable, and are not unsuitable situations.